- r-base-core (>= 4.2.2.20221110-2)
- r-api-4.0
- r-cran-matrix (>= 1.5-3-1~)
- r-cran-rcppeigen
- libblas3 | libblas.so.3
- libc6 (>= 2.29)
- libgcc-s1 (>= 3.0)
- libgomp1 (>= 4.2.1)
- liblapack3 | liblapack.so.3
- libstdc++6 (>= 11)
With this tool, a user should be able to quickly implement complex
random effect models through simple C++ templates. The package combines
'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector
library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an
efficient implementation of the applied Laplace approximation with exact
derivatives. Key features are: Automatic sparseness detection, parallelism
through 'BLAS' and parallel user templates.
Installed Size: 4.3 MB
Architectures: amd64 arm64